Modeling and control simulation for fuel cell air supply system

The adaptability of a fuel cell system to unstable peripheral environment is a crucial criterion to evaluate its performance. During actual operation, changes in the temperature of the fuel cell stack and ambient air condition will probably impair the speed and accuracy of the system power response. Therefore, in this paper, we designed corresponding control units for the air supply system - a current translator which converts the desired power into current according to the real-time temperature of the stack and an air flow based feedback controller to compensate air starvation caused by environment alteration and the blower aging. Moreover, the efficiency of the system is greatly promoted when the feedforward lookup table becomes adaptive. Simulation results are presented to demonstrate the capability of these control units.